code: def parse_args():
      parser = argparse.ArgumentParser(description="Model prediction")
  
      # params of prediction
      parser.add_argument(
          "--config",
          dest="cfg",
          help="The config file.",
          default=None,
          type=str,
      )
      parser.add_argument(
          "--model_path",
          dest="model_path",
          help="The path of model for prediction",
          type=str,
          default=None,
      )
      parser.add_argument(
          "--image_path",
          dest="image_path",
          help="The path of image, it can be a file or a directory including images",
          type=str,
          default=None,
      )
      parser.add_argument(
          "--save_dir",
          dest="save_dir",
          help="The directory for saving the predicted results",
          type=str,
          default="./output/result",
      )
  
      # custom color map
      parser.add_argument(
          "--custom_color",
          dest="custom_color",
          nargs="+",
          help="Save images with a custom color map. Default: None, use paddleseg's default color map.",
          type=int,
          default=None,
      )
      return parser.parse_args()
  
file_path: PaddleSeg/contrib/LaneSeg/predict.py
imports: import argparse
  import os
  import paddle
  from paddleseg.cvlibs import manager, Config
  from paddleseg.utils import get_sys_env, logger, get_image_list
  from core import predict
  from datasets import tusimple
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: parser